Assessment of vegetation vulnerability in floodplain wetlands: A perspective from carryover effect of seasonal growth under various extreme hydrological scenarios

IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Journal of Hydrology Pub Date : 2024-12-28 DOI:10.1016/j.jhydrol.2024.132622
Ge Hong, Xin Xie, Chuandong Tan, Siyi Liang, Xiujiao Hu, Xuefei Wu
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Abstract

Floodplain wetlands, which are critical for ecosystem health and human well-being, are increasingly threatened by intensified hydrological variability and extreme hydrological events. However, it remains unclear how floodplain wetlands respond to these hydrological changes. Here, from the perspective of both endogenous and exogenous memory of vegetation, we explored the response of Poyang Lake Wetland (PYLW) to multi-timescale hydrological dynamics. First, we applied a dynamic threshold method to extract land surface phenology from 2011 to 2020, subdividing the year into four sub-seasons. Next, based on wetland vegetation mapping, the Carnegie-Ames-Stanford Approach (CASA) was used to simulate monthly net primary productivity (NPP). Then, with the NPP and inundation frequency time-series data, we assessed the time-lagged and cumulative response of PYLW vegetation to hydrological variability (exogenous memory) through Pearson rank correlation analysis. Subsequently, we employed partial correlation analysis, with the control of critical temporal hydrological variability, to evaluate the seasonal vegetation growth carryover (VGC) effect (endogenous memory). Finally, we proposed to use the seasonal VGC effect for modelling vegetation vulnerability under various extreme hydrological scenarios. The results reveal that the time-lagged and cumulative effects of hydrological variability on vegetation growth in PYLW reached the peak averagely after 6.51 and 7.08 months, respectively. The extreme hydrological scenarios in PYLW were categorized into three types of flood-only, flood-after-drought, and flood-before-drought. In the flood-after-drought scenario, vegetation generally showed high vulnerability, and the most vulnerable vegetation type varied across different scenarios. Our findings provide effective support for vegetation restoration, hydrological management, and biodiversity conservation in floodplains.
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洪泛平原湿地植被脆弱性评价:基于不同极端水文情景下季节生长的结转效应
洪泛区湿地对生态系统健康和人类福祉至关重要,但日益受到水文变异性加剧和极端水文事件的威胁。然而,目前尚不清楚洪泛区湿地如何对这些水文变化做出反应。本文从植被内源记忆和外源记忆两个角度,探讨了鄱阳湖湿地对多时间尺度水文动态的响应。首先,采用动态阈值法提取2011 - 2020年的地表物候特征,并将其划分为4个子季节。其次,在湿地植被测绘的基础上,采用卡耐基-艾姆斯-斯坦福方法(CASA)模拟了月净初级生产力(NPP)。然后,利用NPP和淹没频率时间序列数据,通过Pearson秩相关分析评估了PYLW植被对水文变异(外源记忆)的滞后响应和累积响应。随后,我们采用偏相关分析,在控制临界时间水文变异的情况下,评估了季节性植被生长携带(VGC)效应(内源性记忆)。最后,提出了利用季节VGC效应模拟不同极端水文情景下植被脆弱性的方法。结果表明,水文变率对植被生长的滞后效应和累积效应平均分别在6.51和7.08个月后达到峰值。将PYLW极端水文情景划分为仅涝、旱后涝和旱前涝三种类型。在干旱后洪涝情景中,植被普遍表现出较高的脆弱性,且不同情景下最脆弱的植被类型存在差异。研究结果为洪泛平原植被恢复、水文管理和生物多样性保护提供了有效支持。
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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